IT TRAINING

Microsoft 6234 – Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services

In this course you will learn how to implement an Analysis Solution in an organization. Other topics covered by this course include Analysis Services development tools, Analysis Services databases and OLAP cube.

Who needs to attend

Who needs to attend?
This course is aimed at anyone responsible for designing and maintaining business intelligence solutions or work in an environment where databases play a key role and individuals who develop applications that deliver content from SQL Server Analysis Services to the roganization.

what you will learn

What you will learn

Upon completion you will know how to:

  • How SQL Server Analysis Services can be used to implement analytical solutions
  • Create multidimensional analysis solutions with SQL Server Analysis Services
  • Implement dimensions and cubes in an Analysis Services solution
  • Implement measures and measure groups in an Analysis Services solution
  • Query a multidimensional Analysis Services solution
  • Customize an Analysis Services cube
  • Deploy and secure an Analysis Services database
  • Maintain a multidimensional Analysis Services solution
  • Implement a Data Mining solution
Prerequisites

Prerequisites

Students need to have:

  • Conceptual understanding of OLAP solutions
  • Experience navigating the Microsoft Windows Server environment
  • Experience with Windows services (starting and stopping)
  • Experience creating service accounts and permissions
  • Experience with Microsoft SQL Server, including:
    • SQL Server Agent
    • SQL Server query language (SELECT, UPDATE, INSERT, and DELETE)
    • SQL Server System tables
    • SQL Server accounts (users and permissions)
Course outline

Course Outline

Module 1: Introduction to Microsoft SQL Server Analysis Services
This module introduces common analysis scenarios and describes how Analysis Services provides a powerful platform for multidimensional OLAP solutions and data mining solutions. The module then describes the main considerations for installing Analysis Services.
Lessons
Overview of Data Analysis Solutions
Overview of SQL Server Analysis Services
Installing SQL Server Analysis Services
Lab : Using SQL Server Analysis Services
After completing this module, students will be able to:
Describe data analysis solutions.
Describe the key features of SQL Server Analysis Services.
Install SQL Server Analysis Services.
Module 2: Creating Multidimensional Analysis Solutions
This module introduces the development tools you can use to create an Analysis Services multidimensional analysis solution, and describes how to create data sources, data source views, and cubes.
Lessons
Developing Analysis Services Solutions
Creating Data Sources and Data Source Views
Creating a Cube
Lab : Creating Multidimensional Analysis Solutions
After completing this module, students will be able to:
Develop Analysis Services solutions.
Create a data source and a data source view.
Create a cube.
Module 3: Working with Cubes and Dimensions
This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.
Lessons
Configuring Dimensions
Defining Attribute Hierarchies
Sorting and Grouping Attributes
Lab : Working with Cubes and Dimensions
After completing this module, students will be able to:
Configure dimensions.
Define hierarchies.
Sort and group attributes.
Module 4: Working with Measures and Measure Groups
This module explains how to edit and configure measures and measure groups.
Lessons
Working With Measures
Working with Measure Groups
Lab : Working with Measures and Measure Groups
After completing this module, students will be able to:
Work with measures.
Work with measure groups.
Module 5: Querying Multidimensional Analysis Solutions
This module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube.
Lessons
MDX Fundamentals
Adding Calculations to a Cube
Lab : Querying Multidimensional Analysis Solutions
After completing this module, students will be able to:
Describe Multidimensional Expression (MDX) fundamentals.
Add calculations to a cube.
Module 6: Customizing Cube Functionality
This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.
Lessons
Implementing Key Performance Indicators
Implementing Actions
Implementing Perspectives
Implementing Translations
Lab : Customizing Cube Functionality
After completing this module, students will be able to:
Implement Key Performance Indicators (KPIs).
Implement actions.
Implement perspectives.
Implement translations.
Module 7: Deploying and Securing an Analysis Services Database
This module describes how to deploy an Analysis Services database to a production server, and how to implement security in an Analysis Services multidimensional solution.
Lessons
Deploying an Analysis Services Database
Securing an Analysis Services Database
Lab : Deploying and Securing an Analysis Services Database
After completing this module, students will be able to:
Deploy an Analysis Services database.
Secure an Analysis Services database.
Module 8: Maintaining a Multidimensional Solution
This module discusses the maintenance tasks associated with an Analysis Services solution, and describes how administrators can use the Analysis Services management tools to perform them.
Lessons
Configuring Processing
Logging, Monitoring, and Optimizing an Analysis Services Solution
Backing Up and Restoring an Analysis Services Database
Lab : Maintaining a Multidimensional Solution
After completing this module, students will be able to:
Configure processing settings.
Log, monitor, and optimize an Analysis Services solution.
Back up and restore an Analysis Services database.
Module 9: Introduction to Data Mining
This module introduces data mining, and describes how to implement data mining structures and models. It then explains how to validate data model accuracy.
Lessons
Overview of Data Mining
Creating a Data Mining Solution
Validating Data Mining Models
Lab : Introduction to Data Mining
After completing this module, students will be able to:
Describe data mining.
Create a data mining solution.
Validate data mining models.

Follow on
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Certification programs
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